{"id":26754,"date":"2022-07-25T14:47:21","date_gmt":"2022-07-25T12:47:21","guid":{"rendered":"https:\/\/swissdox.ch\/?page_id=26754"},"modified":"2025-11-24T11:35:46","modified_gmt":"2025-11-24T10:35:46","slug":"swissdox-liri","status":"publish","type":"page","link":"https:\/\/swissdox.ch\/fr\/swissdox-liri\/","title":{"rendered":"Analyse des donn\u00e9es Swissdox@LiRI"},"content":{"rendered":"\t\t
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Home<\/a><\/span><\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\"Zeitungsleserin\"\t\t\t\t\t\t\t\t\t\t\t
Photo: Raphael Ferraz \/ Unsplash <\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Analyse des donn\u00e9es Swissdox@LiRI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Swissdox coop\u00e8re avec le LiRI (Linguistic Research Infrastructure) de l’Universit\u00e9 de Zurich. Swissdox@LiRI est un corpus de textes compos\u00e9 d’environ 29 millions d’articles de presse issus de m\u00e9dias imprim\u00e9s et en ligne, ainsi que de transcriptions et de fonds de sous-titres d’\u00e9missions de radio et de t\u00e9l\u00e9vision. Il couvre plusieurs d\u00e9cennies et est mis \u00e0 jour quotidiennement avec 5’000 \u00e0 6’000 nouveaux articles de presse, provenant principalement des r\u00e9gions francophones et germanophones de la Suisse.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\tSwissNLP Award 2022<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t

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Le projet Swissdox@LiRI a \u00e9t\u00e9 r\u00e9compens\u00e9 par le SwissNLP Award 2022<\/a> en tant que contribution exceptionnelle dans le domaine du Natural Language Processing (NLP) en Suisse. Sur la photo : Roberto Nespeca (Swissdox AG) et Noah Bubenhofer (UZH) \u00e0 la SwissText 2022 \u00e0 Lugano.<\/p>\n

SwissText Swiss Text Analytics Conference:\u00a0www.swisstext.org<\/a>
Swiss Association for Natural Language Processing: swissnlp.org<\/a><\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Ensemble de services et bases de donn\u00e9es<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Swissdox@LiRI veut offrir aux chercheurs d’institutions acad\u00e9miques un paquet de services qui met \u00e0 disposition, exclusivement pour des travaux de recherche, des bases de donn\u00e9es du paysage journalistique suisse de la plus haute qualit\u00e9, lisibles par machine et en toute s\u00e9curit\u00e9 juridique. Les bases de donn\u00e9es sont mises \u00e0 disposition par nos partenaires CH\u00a0Media, NZZ-Mediengruppe, Ringier, Ringier Axel Springer Schweiz, TX\u00a0Group (Tamedia), SRG\u00a0SSR, Wochenzeitung, Weltwoche et Le\u00a0Temps – au total 250 sources, qui seront encore \u00e9largies \u00e0 l’avenir.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Analyses de donn\u00e9es volumineuses<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Outre la possibilit\u00e9 d’effectuer des analyses de donn\u00e9es descriptives, inf\u00e9rentielles, exploratoires ou contextuelles classiques, Swissdox@LiRI convient \u00e9galement comme mati\u00e8re premi\u00e8re pour des analyses de donn\u00e9es volumineuses pour l’entra\u00eenement d’algorithmes ou de r\u00e9seaux neuronaux.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Pour en savoir plus sur le sujet, consultez l’article suivant :<\/p>\n

Qu’est-ce que l’analyse de donn\u00e9es ?<\/a><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Factsheet Swissdox@LiRI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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T\u00e9l\u00e9charger le PDF<\/a> (en anglais)<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Utilisation acad\u00e9mique<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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L’acc\u00e8s \u00e0 Swissdox@LiRI se fait via une API. La base de donn\u00e9es est notamment con\u00e7ue pour des analyses de donn\u00e9es volumineuses. Les donn\u00e9es doivent \u00eatre conserv\u00e9es sur la propre infrastructure informatique d’une institution acad\u00e9mique.<\/p>\n

En option, elles peuvent \u00eatre enrichies de donn\u00e9es personnelles, trait\u00e9es et analys\u00e9es automatiquement. Les donn\u00e9es brutes, mais pas les d\u00e9riv\u00e9s qui en d\u00e9coulent, doivent \u00eatre supprim\u00e9es six mois apr\u00e8s la fin du projet et ne peuvent pas \u00eatre partag\u00e9es avec des tiers.<\/p>\n

Swissdox@LiRI est propos\u00e9 \u00e0 prix co\u00fbtant \u00e0 la communaut\u00e9 des chercheurs universitaires.<\/p>\n

Les personnes int\u00e9ress\u00e9es trouveront toutes les informations sur la page Swissdox@LiRI (en anglais)\u00a0:
www.liri.uzh.ch<\/a>
Page contact LiRI<\/a><\/p>\n

Travaux de recherche ant\u00e9rieurs<\/a>
(situation au 11.11.2025).<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Utilisation commerciale<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Les entreprises et organisations qui souhaitent utiliser ces bases de donn\u00e9es \u00e0 des fins commerciales doivent adresser leurs
demandes \u00e0\u00a0:<\/p>\n

Roberto Nespeca,
CEO Swissdox AG,
contact@swissdox.ch<\/a>,
T\u00e9l\u00a0: +41 315 60 80.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Photo: Raphael Ferraz \/ Unsplash  Analyse des donn\u00e9es Swissdox@LiRI Swissdox coop\u00e8re avec le LiRI (Linguistic Research Infrastructure) de l’Universit\u00e9 de Zurich. Swissdox@LiRI est un corpus de textes compos\u00e9 d’environ 29 millions d’articles de presse issus de m\u00e9dias imprim\u00e9s et en ligne, ainsi que de transcriptions et de fonds de sous-titres d’\u00e9missions de radio et de […]<\/p>\n","protected":false},"author":1,"featured_media":15270,"parent":0,"menu_order":12,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"ocean_post_layout":"full-screen","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"off","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"on","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","footnotes":""},"class_list":["post-26754","page","type-page","status-publish","has-post-thumbnail","hentry","entry","has-media"],"acf":[],"yoast_head":"\nAnalyse des donn\u00e9es Swissdox@LiRI - Swissdox<\/title>\n<meta name=\"description\" content=\"Swissdox coop\u00e8re avec LiRI de l'Universit\u00e9 de Zurich. 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